Benoît Paulmier

408 citations
12 papers · 244 · h-index 7

Impact in

Papers in

Benoît Paulmier

12 papers receiving 239 citations

Peers

Benoît Paulmier
Comparison fields: 5 of 41
  • Radiology, Nuclear Medicine and Imaging 155
  • Radiation 42
  • Pulmonary and Respiratory Medicine 113
  • Cardiology and Cardiovascular Medicine 50
  • Hepatology 11
Replace Jiayi Liu with:
Jiayi Liu China
Khaled Alkhawaldeh United States
Elena Busnardo Italy
Manuela C. Matesan United States
Marco Perna Italy
Akshat C. Pujara United States
Kazunori Iwatani Japan
Jennifer Le Guévelou France
Desiree Weiberg Germany
Fourat Ridouani United States
Benoît Paulmier relative to Jiayi Liu China Jiayi Liu's profile →
Citations per field
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Jiayi Liu · 1×
Citations per year

Countries citing papers authored by Benoît Paulmier

Since Specialization
Citations

This map shows the geographic impact of Benoît Paulmier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benoît Paulmier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Paulmier more than expected).

Fields of papers citing papers by Benoît Paulmier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoît Paulmier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benoît Paulmier. The network helps show where Benoît Paulmier may publish in the future.

Co-authors

The 25 scholars most cited alongside Benoît Paulmier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoît Paulmier Line = papers co-authored together Benoît Paulmier links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2008118
2 201330
3 201127
4 201422
5 201714
6 201710
7 20219
8 20115
9 20234
10 20222
11 20062
12 20131

About Benoît Paulmier

Benoît Paulmier is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Biomedical Engineering and Infectious Diseases, having authored 12 papers that have together received 244 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Radiotherapy Techniques (3 papers), Advanced X-ray and CT Imaging (3 papers), Radiation Dose and Imaging (2 papers), Cardiac Imaging and Diagnostics (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (155 citations), Radiation (42 citations), Pulmonary and Respiratory Medicine (113 citations), Cardiology and Cardiovascular Medicine (50 citations) and Hepatology (11 citations). Benoît Paulmier has collaborated with scholars based in Monaco, France and Belgium. Frequent co-authors include Marc Faraggi, Florent Hugonnet, Élisabeth Sauvaget, Benjamín Serrano, Jean‐Pierre Laissy, M. Duet, Ludovic Trinquart, Axel Van Der Gucht, Anne‐Laure Giraudet and Anne Poinsignon. Their work appears in journals such as Journal of Nuclear Cardiology, EJNMMI Physics, Medical Physics, Radiology and Journal of Clinical Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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